SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

Showing 76517700 of 15113 papers

TitleStatusHype
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement LearningCode0
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles0
Symmetry-aware Neural Architecture for Embodied Visual Navigation0
Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach0
Unsupervised Compressive Text Summarisation with Reinforcement Learning0
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report)Code0
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents0
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning0
Deep Reinforcement Learning-based Authentic Dialogue Generation To Protect Youth From Cybergrooming0
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning0
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning0
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs0
Inherently Explainable Reinforcement Learning in Natural LanguageCode0
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation0
Unsupervised Reinforcement Learning in Multiple EnvironmentsCode0
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning0
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities0
Feature-Attending Recurrent Modules for Generalization in Reinforcement LearningCode0
Conjugated Discrete Distributions for Distributional Reinforcement LearningCode0
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning0
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement LearningCode0
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study0
Quantifying Multimodality in World Models0
Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning0
Representation and Invariance in Reinforcement Learning0
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module0
Reinforcing Semantic-Symmetry for Document Summarization0
Programmatic Reward Design by Example0
Teaching a Robot to Walk Using Reinforcement Learning0
A Benchmark for Low-Switching-Cost Reinforcement Learning0
Continual Learning In Environments With Polynomial Mixing TimesCode0
Contextual Exploration Using a Linear Approximation Method Based on Satisficing0
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control0
Formalising the Foundations of Discrete Reinforcement Learning in Isabelle/HOL0
Federated Reinforcement Learning at the Edge0
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare0
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots0
Quantum Architecture Search via Continual Reinforcement Learning0
A Validation Tool for Designing Reinforcement Learning Environments0
How Private Is Your RL Policy? An Inverse RL Based Analysis FrameworkCode0
Blockwise Sequential Model Learning for Partially Observable Reinforcement LearningCode0
Encoding priors in the brain: a reinforcement learning model for mouse decision making0
Edge-Compatible Reinforcement Learning for Recommendations0
High-Dimensional Stock Portfolio Trading with Deep Reinforcement Learning0
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization0
Reinforcement Learning with Almost Sure Constraints0
Cooperative Multi-Agent Reinforcement Learning with Hypergraph ConvolutionCode0
Recent Advances in Reinforcement Learning in Finance0
Suboptimal and trait-like reinforcement learning strategies correlate with midbrain encoding of prediction errors0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76Unverified
2PPOMean Normalized Performance0.58Unverified